Data Engineer

We are looking for a Data Engineer to join a high-impact, agile team building scalable, Real Time, and batch data integration solutions in a modern cloud environment. You'll work within a complex application landscape that processes millions of records daily and supports mission-critical use cases. Leveraging Azure-based technologies, your role will be central to enabling data-driven innovation and building secure, high-quality data solutions.

Are you a hands-on technical expert with a strong foundation in data engineering and data management? Are you passionate about solving complex challenges and driving innovation? Then this role is for you.

Key Responsibilities

• Design, develop, and maintain robust data pipelines and data lake solutions.

• Implement Real Time and streaming integrations across multiple systems.

• Perform data transformations and ensure efficient delivery to target systems.

• Work with technologies such as ADLS Gen2, Databricks, Azure Functions, EventHub, and Apache Kafka.

• Collaborate within an Agile/Scrum DevOps team, taking full ownership of your deliverables.

• Contribute to BI/reporting solutions and provide actionable business insights.

Your Skills and Experience

• Medior to Senior level experience as Data Engineer

• At least 2-3 years of experience with Big Data tools (eg, PySpark, Databricks)

• Proficient in Python and SQL

• Experience with cloud-based storage (eg, ADLS Gen2)

Nice to Have:

• Familiarity with data management practices (retention, archiving, data quality)

• Understanding of data cataloguing, metadata management, and data governance

• Experience with Azure DevOps, Git, CI/CD pipelines

• Knowledge of workflow automation tools (eg, Azure Data Factory, Databricks Workflows, Apache Airflow)

If you're passionate about building data solutions that matter and thrive in a collaborative environment, we'd love to hear from you.